In this paper we propose a multimedia categorization framework that is able to exploit information across different parts of a multimedia document (e.g., a Web page, a PDF, a Micr...
The World-Wide Web consists of a huge number of unstructured documents, but it also contains structured data in the form of HTML tables. We extracted 14.1 billion HTML tables from...
Michael J. Cafarella, Alon Y. Halevy, Daisy Zhe Wa...
—This article describes a rigorous and complete framework for the simultaneous localization and map building problem for mobile robots: the symmetries and perturbations map (SPma...
We present VideoPot, a desktop video search system designed for digital video files stored on personal computers. The core metric of this system is based on video-indexing techno...
Hidenobu Nagata, Dan Mikami, Shozo Azuma, Masashi ...
In this paper, we propose an autonomous learning scheme to automatically build visual semantic concept models from the output data of Internet search engines without any manual la...